Triple
T11859799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpongeBob SquarePants: The Broadway Musical |
E282129
|
entity |
| Predicate | outerCriticsCircleAwardsNominationsCount |
P101895
|
FINISHED |
| Object | 12 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 12 | Statement: [SpongeBob SquarePants: The Broadway Musical, outerCriticsCircleAwardsNominationsCount, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerCriticsCircleAwardsNominationsCount Context triple: [SpongeBob SquarePants: The Broadway Musical, outerCriticsCircleAwardsNominationsCount, 12]
-
A.
academyAwardsNominationsCount
Indicates the number of times an entity has been nominated for an Academy Award.
-
B.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
C.
outerCriticsCircleAwardWinCategory
Indicates that an entity has won an Outer Critics Circle Award in a specified award category.
-
D.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
-
E.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.